HCA Data Explorer

Single-Cell Heterogeneity Analysis and CRISPR Screen Identify Key β-Cell-Specific Disease Genes

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Updated June 19, 2024

Massively parallel single-cell RNA-seq technology (Drop-Seq) was applied to analyze the transcriptome of 26,677 pancreatic islets cells from both healthy and type II diabetic (T2D) donors.

Yan LiSchool of Medicine, Case Western Reserve Universityyxl1379@case.edu
Zhou Fang1
Chen Weng1
Haiyan Li1
Ran Tao2
Weihua Mai1
Xiaoxiao Liu1
Leina Lu1
Sisi Lai1
Qing Duan3
Carlos Alvarez1
Peter Arvan4
Anthony Wynshaw-Boris1
Yun Li3
Yanxin Pei5
Fulai Jin1
Yan Li1
1School of Medicine, Case Western Reserve University
2Brain Tumor Institute, Children's National Medical Center
3University of North Carolina
4University of Michigan Medical Center
5Children's National Medical Center
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/1c6a960d-52ac-44ea-b728-a59c7ab9dc8e
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

None

Project Label

HealthyAndDiabeticPancreas

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pancreas

Organ Part

islet of Langerhans

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

Drop-seq

Nucleic Acid Source

single cell

Paired End

false

File Format

3 file formats

Cell Count Estimate

39.9k

Donor Count

9
fastq.gz18 file(s)tar.gz1 file(s)xlsx2 file(s)